Radar radiation source identification method based on feature fusion

A feature fusion and identification method technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of reducing the operation speed of the classifier and affecting the effect of radiation source identification, so as to eliminate noise and redundant information, and improve the robustness of extraction. , Accurate effect of time-frequency image feature extraction method

Active Publication Date: 2019-01-22
HARBIN ENG UNIV
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Problems solved by technology

In addition, simply applying the existing technology to extract high-dimensional features of the signal will greatly reduce the computing speed of the classifier, the noise in the tran...

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  • Radar radiation source identification method based on feature fusion
  • Radar radiation source identification method based on feature fusion
  • Radar radiation source identification method based on feature fusion

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Embodiment Construction

[0027] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0028] The invention can analyze signals from time domain, frequency domain and time-frequency domain respectively, and realizes a new method for radar radiation source identification by extracting various unintentional modulation features. It is used to solve the problems of low applicability, poor reliability and difficult identification of radiation sources extracted from unintentional modulation features. Include the following steps:

[0029] Step 1: According to the parameter values ​​of the five types of radar signals provided in Table 1, add the unintentional modulation characteristics of the radar signals in Table 2, and generate the unintentional modulation radar signal set x composed of FRANK, P1, P2, P3, and P4 i (t), t is time.

[0030] Table 1

[0031]

[0032] Table 2

[0033]

[0034] Step 2: First extract the unintentional ...

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Abstract

The invention relates to a radar radiation source identification method based on feature fusion. The method comprises the steps of generating a radar radiation source unintentional modulation signal set; extracting AR model coefficients, Renyi entropy features and spectral kurtosis features; computing smoothed pseudo Wigner-Ville distribution, generating time-frequency images, and carrying out graying and adaptive binarization to obtain adaptive binarized images; extracting pseudo Zernike matrix and Hu matrix features of the images; extracting signal time-frequency image unintentional modulation features through application of an AlexNet convolutional neural network, carrying out normalization, and carrying out feature fusion to obtain fused feature vectors; and inputting the fused featurevectors into a support vector machine, training the support vector machine optimized through particle swarm optimization, and inputting the radar radiation source signal set into a system to finish identifying radar radiation sources. According to the method, the signals are analyzed from a time domain, a frequency domain and a time-frequency domain, various unintentional modulation features areextracted comprehensively, and the problems that the extracted unintentional modulation features are low applicability and reliability and the radiation sources are difficult to identify is solved.

Description

technical field [0001] The invention relates to a radar radiation source identification method, in particular to a radar radiation source identification method based on feature fusion, which belongs to the field of radar radiation source identification. Background technique [0002] Radar emitter identification is a crucial part of radar information identification, but unintentional modulation identification has become a bottleneck in this field. The unintentional modulation characteristics of radar radiation sources are caused by the imperfection of each physical device of the signal transmitting equipment, and have highly individual attributes. Due to the continuous improvement and progress of radar systems, the traditional single unintentional modulation feature extraction of radar emitters can no longer meet the needs of radar emitter identification. At present, the extraction of unintentional modulation features of radiation sources mainly includes time domain, frequen...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/417
Inventor 高敬鹏刘凡郜丽鹏武超群蒋伊琳赵忠凯白锦良秦鹏
Owner HARBIN ENG UNIV
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